2015Unpublished venueRequires access

Flexible memory: A novel main memory architecture with block-level memory compression

Yanan Cao, Long Chen, Zhao Zhang

Open publisher page 2 citations

Abstract

Main memory system is facing increasingly high pressure from the advances of multi-core processors. The simplicity of conventional memory architecture has helped minimize memory latency and reduce the design cost. However, in present multi-core era, it is increasingly attractive to adopt flexible and advanced memory organization to further improve memory bandwidth utilization, power efficiency, and reliability, despite an increase of memory system complexity. Motivated by the idea, we propose an innovative memory compression scheme with a flexible memory organization, used in combination with the recently proposed, power-efficient sub-ranked memory. Our detailed simulation show that the scheme may gain an average of 1.5× effective capacity gain, reduce the power consumption of memory subsystem by up to 45%, on average in the range from 13% to 16%, and yield moderate performance improvement.

About this research paper

What this paper is about

Main memory system is facing increasingly high pressure from the advances of multi-core processors. The simplicity of conventional memory architecture has helped minimize memory latency and reduce the design cost. However, in present multi-core era, it is increasingly attractive to adopt flexible and advanced memory organization to further improve memory bandwidth utilization, power efficiency, and reliability, despite an increase of memory system complexity. Motivated by the idea, we propose an innovative memory compression scheme with a flexible memory organization, used in combination with the recently proposed, power-efficient sub-ranked memory. Our detailed simulation show that the scheme may gain an average of 1.5× effective capacity gain, reduce the power consumption of memory subsystem by up to 45%, on average in the range from 13% to 16%, and yield moderate performance improvement.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Main memory system is facing increasingly high pressure from the advances of multi-core processors. The simplicity of conventional memory architecture has helped minimize memory latency and reduce the design cost. However, in present multi-core era, it is increasingly attractive to adopt flexible and advanced memory organization to further improve memory bandwidth utilization, power efficiency, and reliability, despite an increase of memory system complexity. Motivated by the idea, we propose an innovative memory compression scheme with a flexible memory organization, used in combination with the recently proposed, power-efficient sub-ranked memory. Our detailed simulation show that the scheme may gain an average of 1.5× effective capacity gain, reduce the power consumption of memory subsystem by up to 45%, on average in the range from 13% to 16%, and yield moderate performance improvement.

Key concepts: Computer science, Interleaved memory, Flat memory model, Registered memory, Semiconductor memory, Extended memory, Computing with Memory, Memory refresh

Related papers

Back to paper searchBrowse research topicsOriginal source
Flexible memory: A novel main memory architecture with block-level memory compression — Research Paper | ScholarLens